Quantification of Total Phenolic and Carotenoid Content in Blackberries ( Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis

A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ci...

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Bibliographic Details
Published in:Molecules (Basel, Switzerland) Switzerland), 2018-12, Vol.23 (12), p.3191
Main Authors: Toledo-Martín, Eva María, García-García, María Del Carmen, Font, Rafael, Moreno-Rojas, José Manuel, Salinas-Navarro, María, Gómez, Pedro, Del Río-Celestino, Mercedes
Format: Article
Language:English
Subjects:
Antioxidants
Berries
bioanalytical applications
Blackberries
Blueberries
Calibration
Carotenoids
Cellulose
chemometrics
Chlorophyll
Chromatography
Food industry
Fruits
Functional foods & nutraceuticals
Infrared analysis
Infrared spectroscopy
Lipids
Multivariate analysis
near infrared
Near infrared radiation
Phenolic compounds
phenolics
Phenols
Phytochemicals
Rubus fructicosus
Standard error
Strawberries
Sugar
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Summary:A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g dw and 8.30 µg·g dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations.
ISSN:1420-3049
1420-3049
DOI:10.3390/molecules23123191